“multi-agent orchestration”

Agent Swarm — parallel multi-agent orchestration.

Use when designing multi-agent orchestration, control towers, agentic operations, or tool-calling systems.

Multi-agent orchestration patterns for Loop in Claude Code.

通过自主子代理编排复杂任务。将宏观任务分解为子任务，生成带有动态 SKILL.md 文件的专用子代理，协调基于文件的通信，整合结果，并在完成后解散代理。强制触发词：orchestrate (编排), multi-agent (多代理), decompose task (分解任务), spawn agents…

Create, audit, test or improve subagents (agents/*.md for Claude Code and Cursor), including prompts, tool and model choice, multi-agent orchestration and…

Design multi-agent orchestration with workflow DAGs, routing, handoff protocols, and state management.

This skill should be used when writing, enhancing, or evaluating the launch prompt for a long-running autonomous agent or a parallel multi-agent orchestration…

Expert agent organizer specializing in multi-agent orchestration, team assembly, and workflow optimization.

Build and iterate phase — implement all features through continuous Dev-QA loops with orchestrated multi-agent sprints.

AI agent runtime and multi-agent orchestration platform.

Use when designing, reviewing, or debugging agent loops, harness construction, tool/action spaces, or multi-agent orchestration.

Use Orca orchestration for structured multi-agent coordination: threaded messages, blocking ask/reply flows, task dispatch, worker_done/escalation waits, task…

Canonical multi-agent orchestration: decompose work, dependency graphs, parallel tracks, handoffs, and merge.

Multi-agent orchestration patterns.

Multi-agent orchestration skill for team assembly, task decomposition, workflow optimization, and coordination strategies to achieve optimal team performance…

This skill should be used when the user asks to "share memory between agents", "KV cache compaction for multi-agent", "orchestrator worker context", "latent…

Multi-agent orchestration using dmux (tmux pane manager for AI agents).

Use when writing or designing any inline/dynamic Claude Code Workflow script, including short single-pass scripts, Ultracode or multi-agent orchestration…

Multi-agent orchestration with container-isolated workspaces — each agent session runs in its own Docker container with independent git branches

Multi-agent task scheduling, resource allocation, workflow orchestration, and parallel task management.

Multi-agent orchestration framework for autonomous AI collaboration.

Run ruflo — an agent meta-harness with 314+ MCP tools, multi-agent swarms, vector memory, federation and 30+ plugins.

Orchestrate multiple coding agents (subagents and ACP harnesses) for parallel development.

Design multi-agent AI workflows with clear boundaries, handoffs, and monitoring.